Powerful Proprietary Fraud Detection System

Be assured about the legitimacy and quality of our product / users because we have real human traffic and we provide real installs from real users / devices.

  • We have Fraud detection system in place to prevent fraudulent activity.
  • Our Powerful Proprietary Fraud Detection System ensures legitimacy and quality of traffic / users.
  • We drive Real human traffic, real installs from genuine users/devices.
  • You Pay only for genuine conversions due to the Proprietary Fraud Detection System.
  • Our advertisers are charged only for genuine installs.

So don't worry, you will be charged only for genuine installs.

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IP Reputation Checks
IP addresses are checked against global blacklists and databases to determine whether they have a negative reputation. This helps to prevent fraud and other malicious activities from suspicious IPs.
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Proxy / VPN Checks
Identifies if a user is masking their identity by using a proxy or VPN. This is important for preventing access from potentially fraudulent or compromised sources.
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Bot / Non-Human Data Checks
Detects whether the traffic is generated by automated bots rather than real users. This helps in distinguishing genuine user actions from fraudulent or bot-driven activities.
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Device Fingerprinting
Collects unique information from a device's configuration, such as browser type, screen resolution, and hardware properties, to create a unique fingerprint for identification.
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CR (Conversion Rate) Checks
Monitors the percentage of users who take a desired action, such as completing a purchase or installing an app. It ensures that the conversion rate is within expected norms.
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CTR (Click-Through Rate) Checks
Evaluates the ratio of users who click on a specific link compared to the total users who view the link. Helps in understanding the effectiveness of ads and content.
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Platform / OS Distribution Checks
Analyzes the distribution of users based on the platform (e.g., Windows, macOS) or operating system they are using. Helps in identifying any unusual patterns in platform usage.
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Device / Make Model Distribution Checks
Monitors the type of devices being used (e.g., iPhone, Samsung) and their specific models. Detects any suspicious concentration of certain devices which might indicate fraudulent behavior.
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M**I (Mean * * Incident) Analysis
Tracks the average * taken from when an issue is detected to when it's addressed. This metric helps in evaluating response efficiency to incidents.
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C**T (Click * * Time) Analysis
Measures the time it takes for a user to * an * after clicking on the * *. A high C**T may indicate technical issues or fraudulent activity.